Update app.py

app.py

@@ -21,16 +21,16 @@ if torch.cuda.is_available():
     pipe.scheduler = EulerAncestralDiscreteScheduler.from_config(pipe.scheduler.config)
     pipe.scheduler.register_to_config(
         rescale_betas_zero_snr=True,
-        clip_sample=false,
+        clip_sample=False,
         interpolation_type=linear,
         prediction_type=epsilon,
         sample_max_value=1.0,
-        set_alpha_to_one=false,
-        skip_prk_steps=true,
+        set_alpha_to_one=False,
+        skip_prk_steps=True,
         steps_offset=1,
         timestep_spacing=leading,
         trained_betas=null,
-        use_karras_sigmas=false
+        use_karras_sigmas=False
     )
     pipe.to("cuda")